Backend Engineer, Multi-cloud Inference Platform/Canada · Remote
Los Altos, Santa Clara County, California, 94024, USA
Listed on 2026-10-20
-
Software Development
Cloud Engineer - Software, Backend Developer, DevOps, AI Engineer (Applied/Software)
United States / Canada
Remote
Full-time
About ModularAt Modular, a Qualcomm company , we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges.
If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.
About the role:In the Cloud Inference team, we are focused on building end to end distributed LLM inference deployments and a repeatable, observable, productive, low toil platform for managing these deployments.
Our goal is to make inference both the fastest and most scalable while also building an easiest platform for deploying and scaling models for enterprises and developers alike. We're seeking engineers who are passionate about pushing the boundaries of distributed inference systems and enjoy working at the intersection of large-scale systems and machine learning. We are looking for candidates based on their breadth and depth of experience in backend engineering, AI inference, and distributed systems development.
If this sounds exciting, we invite you to join our world-leading AI infrastructure team and help drive our industry forward!
LOCATION: Candidates based in the US or Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home.
Onboarding for new hires is conducted in-person at our headquarters in Los Altos, CA.
- Build the multi-cloud, multi-tenant platform powering Modular’s inference services.
- Build fault-tolerant, low toil services able to make use of resources in a variety of hardware platforms Clouds (Tier 1 Cloud Providers & neoclouds)
- Push the envelope for operational excellence with request-to-kernel observability, multi-cloud deployments, cold-start optimizations, and more.
- Build helm charts, kubernetes operators, and more to make a create simple, effective, maintainable deployments.
- 5+ years of experience working in backend engineering
- Experience with service oriented architecture and distributed systems
- Experience with Cloud Providers (AWS, GCP, Azure, neoclouds)
- Experience with kubernetes and operating your own services
- A passion for building and operating high performance, low toil, observable systems.
- Experience in machine learning technologies and use cases
- Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture
- Practical experience implementing & maintaining security in multi‑tenancy environments
- Experience working on high scale ML inference infrastructure (traditional AI or genAI)
- Familiarity with golang
- Amazing Team.We are a progressive and agile team with some of the industry’s best engineering and product leaders.
- World‑class Benefits.In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about benefits offered by Qualcomm here .
- Competitive Compensation.We offer very strong compensation packages,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).